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Michael A. Hedderich

Michael A. Hedderich has 5 papers in our library, in 2021–2026, most of them on Language models & pretraining, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with Hinrich Schuetze, Raoyuan Zhao, Yihong Liu.

5 papers in our library · 2021–2026

OpenAlex · ORCID · Wikidata · h-index 13 · 81 works · 686 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 149 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4292

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓Ludwig-Maximilians-Universität MünchenMunich · Germany2024–2026 · 30 papersEmployment since 2024 · Junior Research Group Leadercurrent🎓Munich Center for Machine LearningMunich · Germany2024–2026 · 25 paperscurrent🏥LMU KlinikumMunich · Germany2024–2026 · 2 paperscurrent🎓Saarland UniversitySaarbrücken · Germany2018–2023 · 29 papers🎓Cornell UniversityIthaca · United States2022–2024 · 5 papersEmployment 2022–2023 · Post Doctoral Research Scientist🎓Aalto UniversityEspoo · Finland2022–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 5 worksComputer Science · 5 worksArtificial Intelligence · 5 worksLanguage and Linguistics · 5 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 5Research subjects and languages the work is about.Low-resource languages · 1 workEvaluation & benchmarks · 2 worksMultilingual & cross-lingual NLP · 2 worksReasoning · 1 workLanguage models & pretraining · 2 works

 Works by year

2020s

20264 papers20211 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Survey on Recent Approaches for Natural Language Processing in Low-Resource Scenarios (2021 · 401 citations)
    This NAACL 2021 survey examines how NLP systems can be built when training data is scarce. That gap matters because research concentrates on a few high-resource languages, mostly English, while thousands of languages and many specialised domains lack data. The authors treat "low-resource" as a spectrum rather than a…
  2. A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across Languages (2026 · 7 citations)
    Research on multilingual reasoning in large reasoning models (LRMs) usually checks only whether the final answer is correct.
  3. Evaluating Robustness of Large Language Models Against Multilingual Typographical Errors (2026 · 1 citation)
    Most LLM benchmarks use clean text, but real users make keyboard slips in many languages, and little is known about how models cope with such noise outside English.
  4. From Weights to Activations: Is Steering the Next Frontier of Adaptation? (2026 · 1 citation)
    Steering means changing a language model's behavior by editing its internal activations during inference. It has mostly been treated as an interpretability tool, so it is rarely compared with established ways of adapting LLMs. Ostermann et al. argue in this position paper that steering is itself an adaptation…
  5. Linear Script Representations in Speech Foundation Models Enable Zero-Shot Transliteration (2026)
    Multilingual ASR systems such as Whisper learn from web data in which one language may be transcribed in several writing systems.

All works

6 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

  1. A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Michael A. Hedderich, Lukas Lange, Heike Adel, et al.2021 · 401 citations
  2. A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across LanguagesFindings of the Association for Computational LinguisticsRaoyuan Zhao, Yihong Liu, Hinrich Schuetze, et al.2026 · 7 citations
  3. Evaluating Robustness of Large Language Models Against Multilingual Typographical ErrorsAnnual Meeting of the Association for Computational Linguistics (ACL)Raoyuan Zhao, Yihong Liu, Lena Altinger, et al.2026 · 1 citation
  4. From Weights to Activations: Is Steering the Next Frontier of Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.2026 · 1 citation
  5. Linear Script Representations in Speech Foundation Models Enable Zero-Shot TransliterationFindings of the Association for Computational LinguisticsRyan Soh-Eun Shim, Kwanghee Choi, Kalvin Chang, et al.2026
  6. AfriqueLLM: How Data Mixing and Model Architecture Impact Continued Pre-training for African Languages ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetHao Yu et al.2026

 Co-authors here

12 of 17 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 149 times (of the 149,439 papers whose bibliographies we read); 26 citing papers with a page here →.

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